Entrepreneurial skills and wage employment Aleksander...
Transcript of Entrepreneurial skills and wage employment Aleksander...
Col.lecció d’Economia E16/336
Entrepreneurial skills and wage employment Aleksander Kucel Montserrat Vilalta-Bufí
UB Economics Working Papers 2016/336
Entrepreneurial skills and wage employment
Abstract: Promotion of entrepreneurial skills among the population is often considered as an adequate policy to enhance job creation and economic growth. However, neither the definition of entrepreneurial skills, nor the costs and benefits of such a policy are clear. Our aim is to check whether the benefits of entrepreneurial skills extent beyond self-employment. We use a sample of higher education graduates from Spain, from the year 2000 interviewed in 2005 (REFLEX survey). We denote entrepreneurial skills as those competencies that enhance the likelihood of self-employment. Then we analyze whether they are rewarded in wage employment. We find that alertness to new opportunities, ability to mobilize others and knowledge of other fields are the competencies that enhance self-employment in Spain. Yet, these skills are not rewarded in a salaried job. Therefore, benefits of policies fostering entrepreneurial skills do not extend to wage employment in Spain.
JEL Codes: J24, J31, J43. Keywords: entrepreneurial skills, wage returns, wage employment, self-employment, competencies.
Aleksander Kucel CREB,Universitat de Barcelona Montserrat Vilalta-Bufí Universitat de Barcelona
ISSN 1136-8365
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1. Introduction
Entrepreneurship has been continuously attracting all the more attention from both political elites
(European Commission, 2009, European Commission, 2013) as well as the scientific community
(Kuratko, 2005, Praag and Versloot, 2007, van Der Sluis et al., 2008). It gained interest in the context
of the current economic crisis as it is commonly considered a motor of innovation and economic
growth (Carlsson et al., 2009, Grossmann, 2009, Iyigun and Owen, 1999). Consequently, there is
general support for policies directed to enhance the entrepreneurial competencies of the
population. In this respect, entrepreneurial competencies have been added to the curricula of
several studies, from secondary education to university degrees (Martin et al., 2013, Bae et al.,
2014). However, within the literature on entrepreneurship it is not clear what entrepreneurship
education should embrace (Béchard and Grégoire, 2005, Fiet, 2001, Haase and Lautenschläger,
2011, O'Connor, 2013), neither whether it has a positive effect on entrepreneurial activity. While
some evidence points towards an increase in entrepreneurial success due to entrepreneurship
education (Martin et al., 2013), other studies find a null or negative relationship (von Graevenitz et
al., 2010, Oosterbeek et al., 2010, Bae et al., 2014).
The objective of this paper is twofold. First, we want to identify which competencies are positively
correlated with self-employment in Spain. Second, we study whether these competencies are
rewarded in wage employment. Although a general definition of entrepreneurship includes other
than business founders and self-employed individuals, the literature has mostly considered
entrepreneurship within the context of self-employment. We contribute to this literature by
extending the analysis to wage employment.1 If entrepreneurial competencies2 were rewarded in
wage employment, the benefits of policies promoting them would go beyond their intended effects
on self-employment. In contrast, if we find a non-positive effect on employees’ wage, their potential
benefits might have been over-estimated given that self-employment represents only a small
proportion of the population. Finally, we check whether entrepreneurial skills are rewarded in self-
employment.
Most papers on entrepreneurship agree that the core of entrepreneurial skills is the ability to create
or recognize opportunities. There are different theories trying to discern how this process works.
The most commonly accepted version is based on Kirzner’s theory of alertness to new opportunities
(Kirzner, 1973). Some authors argue that differences in alertness to new opportunities are the result
of having different schema and pattern recognition (Baron and Ensley, 2006, Baron, 2004, Valliere,
2013). Gaglio (2004), instead, emphasizes the role of mental simulation and counter-factual thinking
to develop opportunity alertness. Alertness proposed initially by Kirzner has been extended to
creativity and self-consciousness in other papers (Kirzner, 1999 p. 12, Tang et al., 2012). Another
strand of the literature finds that a successful entrepreneur needs to have a balanced set of skills
rather than being good at one particular skill (Bublitz and Noseleit, 2014, Hartog et al., 2010,
Stuetzer et al., 2012, Stuetzer et al., 2013, Lazear, 2004). We consider both strands in our analysis.
We use the REFLEX survey data. It includes self-reported information on 19 competencies, which
range from alertness to new opportunities and ability to use time efficiently through ability to
1 A growing body of literature on corporate entrepreneurship, entrepreneurial employees and
intrapreneurship is studying those employees that are key players in the development of new business activities within their firm (Sharma and Chrisman, 1999, Pinchot, 1985, Martiarena, 2013). We differ from this literature in that we consider the role of entrepreneurial skills for the average worker of the organization. 2 There are many definitions of entrepreneurship in the literature. We label the competencies that increase
the probability of self-employment as ‘entrepreneurial competencies’. They may encompass leadership skills, creativity or management skills, among other competencies, as long as they boost self-employment activity.
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negotiate effectively or to write reports, among others. Three of these competencies can be linked
to the entrepreneurial skills described in the literature. The level of competency on ‘alertness to new
opportunities’ directly measures entrepreneurial skills as proposed by Kirzner (1973). The
competency on ‘ability to come up with new ideas and solutions’ can be related to creativity
(Kirzner, 1999). Finally, the competency ‘willingness to question your own and others’ ideas’ might
reflect the counterfactual thinking emphasized by Gaglio (2004). We also construct a variable
measuring the variety of skills to account for the balanced set of skills theory.
We estimate a Heckman selection model with wages in a salaried job as the main dependent
variable and working in wage employment versus self-employment as the selection equation.
Results reveal which competencies increase the likelihood of self-employment and which
competencies are rewarded in wage employment when controlling for selection into such jobs. We
also examine whether the variety of skills matters for self-employment and wage employment.
Finally, we test which competencies are rewarded in self-employment.
The paper is structured as follows. In the next section, we review the literature on entrepreneurial
skills and returns to entrepreneurship. Then, we present the data and econometric methods
employed in our analysis. In section 4, we present and discuss the results. In section 5, we conclude
and derive policy implications.
2. Literature review
The literature on entrepreneurship education and skills has grown rapidly during the last two
decades. However, there is still little agreement on what entrepreneurial skills are. The ability to
create or recognize opportunities is in the core of entrepreneurial skills (Kirzner, 1973). There is less
consensus to classify other competencies as entrepreneurial skills. Some authors include the ability
to evaluate these opportunities (Tang et al., 2012, Ardichvili et al., 2003), others include social ability
and networks (Aldrich and Kim, 2007), risk tolerance and other personality characteristics (Caliendo
et al., 2014).
Another strand of literature emphasizes the need of a balanced set of skills to become an
entrepreneur (Bublitz and Noseleit, 2014, Hartog et al., 2010, Stuetzer et al., 2012, Stuetzer et al.,
2013). Following Lazear (2004), p. 208, this literature claims that “entrepreneurs must be jacks-of-
all-trades to some extent (…) to make sure that the business does not fail”. For instance,
Oberschachtsiek (2012) finds that a combination of broad experience with competency in
sales/business is important for self-employment duration. As the company grows in size, the
necessity for specialization of labor increases, reducing the required set of skills of each worker.
Regarding the core competency, there are several theories trying to discern how the process of
opportunity recognition works. Personality traits such as creativity and optimism, counter-factual
thinking, prior knowledge, cognitive ability, social networks and passion are some of the factors that
have been associated to entrepreneurial alertness (Gaglio, 2004, Granovetter, 1973, Arenius and
Clercq, 2005, Cardon et al., 2013, Shane et al., 2003). Other authors talk about the importance of
different mental schema and pattern recognition in explaining opportunity recognition (Baron and
Ensley, 2006, Baron, 2004, Valliere, 2013). According to them, individuals analyze reality via
schemas. The richness of these schemas, the way to associate them to events and the sensitivity to
changes determine the likelihood to identify new opportunities.
Following this literature and in line with the human capital theory (Becker, 1993), we propose
entrepreneurial skills to be considered part of the human capital stock. Therefore, we expect
university graduates to receive a wage premium to entrepreneurial skills aside from their standard
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human capital components, such as education, or labor market experience (Hanushek and Zhang,
2009, Heckman et al., 2003, Mincer, 1974).
To our best knowledge, there is no research on the returns to entrepreneurial skills in wage
employment. Within the entrepreneurship literature, some papers study the decision to become an
entrepreneur (Blanchflower and Oswald, 1998, Lazear, 2005, Poschke, 2013, Hartog et al., 2010,
Arenius and Minniti, 2005, Doms et al., 2010). The external environment (resources and political and
market forces) along with the individual characteristics (ability, risk-aversion, opportunity
recognition, among others) often influence the decision to become self-employed (Shane et al.,
2003, Estrin et al., 2013). Other papers study the earnings differentials between self-employment
and wage employment (Hamilton, 2000, Hyytinen et al., 2013). Some of these studies compare
wages of entrepreneurs to wages of employees in Europe and the US. They find that, controlling for
human capital, entrepreneurs earn on average less than employees and their wage growth curves
are flatter in Europe, whilst the converse was found true for the U.S. (van der Sluis and van Praag,
2004, van Der Sluis et al., 2008). Non-pecuniary rewards to self-employment are often necessary to
explain the lower initial earnings and lower earnings growth in self-employment. Martínez et al.
(2007) provide a descriptive analysis of higher education graduates’ wages when in salaried
employment, and compare them to wages of self-employed. In their study, entrepreneurs with
university degree have higher incomes and more satisfaction from their jobs, even though they work
longer hours than the employee graduates do. Finally, in a similar vein, Hamilton (2000) finds non-
pecuniary returns to self-employment.
Aside from the entrepreneurship literature, our research is also close to the empirical labor
economics of skills. Various papers from education economics and labor economics have
demonstrated that skills enhance workers’ productivity, thus leading to higher wages (Heijke et al.,
2003, Teijeiro et al., 2013). However, there is not yet a clear classification of skills as of now. As
Teijeiro et al. (2013) note, the definition of skills used by each researcher depends mostly on data
availability. Moreover, according to Biesma et al. (2007), as long as there is no common data
collection framework, there will be no agreement on which skills are more important in the labor
market. So far, most studies on returns to skills (either through wages, higher job satisfaction or
higher on-the-job training possibilities) come mostly from small scale data projects (Allen and
Velden, 2001, Allen and Van der Velden, 2009, Garcia‐Aracil et al., 2004, Garcia-Aracil, 2009, Garcia-
Aracil and Van der Velden, 2008, Mora et al., 2006). All this research clearly demonstrates that skills
and, particularly what Heckman considers as “soft skills” (Heckman and Kautz, 2012), bring positive
and significant returns in the labor market. Using CHEERS data (Career after Higher Education – A
European Research Survey), Garcia‐Aracil et al. (2004), for instance, show that what they call
“participative” skills - which entail among others decision-making ability, assertiveness, and personal
involvement - are the most rewarded in the European labor market. In another paper, also based on
the CHEERS data, Garcia-Aracil and Van der Velden (2008) show that it is the jobs with higher
“participative and methodological competency requirements” that pay higher wages to those who
possess high levels of these skills. None of these skills, however, could be directly linked to the
entrepreneurial skills described before. The REFLEX project includes a wider set of skills, some of
them directly linked to the definition proposed by Kirzner (1999), thus permitting a more direct
analysis of entrepreneurial skills.
Finally, our research is related to the literature on corporate entrepreneurship (also known as
intrapreneurship or entrepreneurial employees). Corporate entrepreneurship refers to the firm’s
strategy of being closely attentive to entrepreneurial opportunities and involves the different level
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managers of the firm. Kuratko and Audretsch (2013) provide a review of this literature. They
distinguish two domains of corporate entrepreneurship: corporate venturing and strategic
entrepreneurship. The former is about creating new businesses within the corporation, while the
latter domain attempts to strengthen the competitive advantage of the existing businesses in the
corporation. Unlike this literature, we do not focus on the effect of entrepreneurial activity within
the corporation on its innovation performance; rather, we study the effect of worker’s
entrepreneurial skills on wages. Our focus is, therefore, on the average returns to entrepreneurial
skills in wage employment.
3. Data and methodology
Data
We use the REFLEX data (Research into Employment and professional FLEXibility), a survey of
tertiary graduates from the year 2000 that were interviewed five years later. It covers 15 countries
and collects information on individual characteristics, first and current job, as well as tertiary-level
study program characteristics. Moreover, individuals report measures of 19 individual competencies
and their correspondent job requirement level.3
We choose Spain in our analysis. Spain has two main advantages over other countries. On the one
hand, it has a large sample size. On the other hand, given its institutional and cultural context,
parental background is an important determinant of self-employment in this country. This allows us
to use parental education as the exclusion restriction on the wage analysis. The response rate of
Spain was 22%, which corresponds to 3,912 respondents (Allen and Van der Velden, 2009).4 We
exclude those individuals above 45 years old and those working 20 or fewer hours weekly. The final
sample size is 2,154 individuals, of whom 2,002 are in wage employment (93%) and 152 are self-
employed (7%).5
Table 1 reports the 19 competencies that are included in the survey. Respondents are asked how
much each competency is required in their current job and which is their own level of competency.
These self-reported measures are evaluated in a 7-level Likert scale (1-very low, 7-very high).
Table 1. Competencies
List of competencies asked in REFLEX.
Mastery of your own field or discipline.
Knowledge of other fields or disciplines.
Analytical thinking.
Ability to rapidly acquire new knowledge.
Ability to negotiate effectively.
Ability to perform well under pressure.
Alertness to new opportunities.
3 A full description of the survey is provided in the report by Allen and Van der Velden (2009). More
information is also available in http://www.reflexproject.org. 4 The response rate in Spain is similar to the one in Belgium and the UK. The average response rate was 31%.
This low response rate puts a limitation in our analysis as long as the respondents were not a random sample of the population. 5 The percentage of self-employed individuals in a comparable sample computed from the EPA survey 2005 is
around 8%.
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Ability to coordinate activities.
Ability to use time efficiently.
Ability to work productively with others.
Ability to mobilize the capacities of others.
Ability to make your meaning clear to others.
Ability to assert your authority.
Ability to use computers and the internet.
Ability to come up with new ideas and solutions.
Willingness to question your own and others’ ideas.
Ability to present products, ideas or reports to an audience.
Ability to write reports, memos or documents.
Ability to write and speak in a foreign language.
We want to disentangle which competencies affect the decision between self-employment and
wage employment and whether they are rewarded in wage employment. Similarly, we check
whether a wide set of skills matter for self-employment and whether the variety of competencies is
rewarded in wage employment. For that, we count how many competencies the individual evaluates
at least at level 5 (out of 7). Finally, we investigate whether these competencies increase the income
of self-employed individuals.
The rest of explanatory variables used in the study are gender, age, field of study, grade in secondary
education, whether the study program gives access to doctorate studies, and experience in the labor
market. Moreover, since the level of competencies is asked five years after graduation and could be
endogenous to the current job characteristics, some specifications include additional job controls for
those in wage employment. These are the required level of competency in the job, firm size,
public/private sector and permanency of the contract. We provide descriptive statistics of all the
variables in Table 2.
From Table 2 we observe that there are relatively more women in wage employment than in self-
employment. Moreover, Engineering is the field of study most widely represented within self-
employment, while Social Sciences are more common in wage employment. As for parental
education, the average education level of the father is higher in the self-employed sample.
Concerning competencies, self-employed individuals report on average a higher level of all of them
except for the ability to work with others and the ability to use computers. This is true with respect
to both, the own level of competencies and the job requirement level. The largest differences across
the two samples with respect to the own level of competency are in alertness to opportunities,
ability to work under pressure and ability to negotiate. The largest differences with respect to the
required level of competencies occur in alertness to opportunities, ability to negotiate and mastery
of own field, by order of importance.
Methodology
We estimate a Heckman selection model. The system of equations to estimate is the following: * '
1 1 1 1
* '
2 2 2 2
y x
y x
,
where *
1y is the latent variable that determines whether the individual will choose wage
employment or self-employment,*
2y is the wage in a salaried job, which is only observed when
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*
1 0y , and 1 and
2 are the error terms, assumed jointly normally distributed and
homoscedastic, with1var( ) 1 ,
2
2var( ) and1 2( , )corr .
Individuals choose wage employment when the utility of such a choice is larger than the utility of
self-employment. *
1 ( ) ( )y u wage employment u self employment .
We do not observe utilities, but whether they decided to be self-employed or in wage employment.
The observed variable is then
*
1
1 *
1
1 if 0
0 if 0
yy
y
.
We use father’s education as the exclusion restriction. Parental education represents the level of
financial and other help that the individual might get from the family to engage in self-employment.
Since parental education is likely to influence individual’s ability, and therefore his/her wage, we
introduce the individual’s grade in secondary education as a control. We argue that any other effect
of parental education on wage is driven through education, which is also controlled for in the
analysis. Therefore, we consider father’s education a good exclusion restriction for our analysis. We
acknowledge, though, that a more accurate ability measure would be desirable.
The likelihood function for this model is
1 11* * *
1 2 1 1
1
Pr( 0) ( | 0) Pr( 0) .i i
ny y
i i i i
i
L y f y y y
We estimate different specifications. In all of them, the explanatory variable of interest is the own
level of competency. The results from these estimations allow us to identify correlations. To argue
causality we would need to have exogeneity between competencies and employment type as well as
between competencies and wages. However, information on competencies, employment type and
wages was all asked at the same point in time. The own level of competencies might therefore be
influenced by the job characteristics of the individual. Unfortunately, given the data we have, the
only choice to lessen this endogeneity problem is to add job characteristics as controls. Therefore,
we add the required level of competency and other job characteristics in some specifications.
4. Results
As mentioned in the previous section, we estimate a Heckman selection model where the logarithm
of gross hourly wage is the dependent variable in the main equation and whether individuals are
employed in wage employment is the selection variable.
Table 3 shows the results of the basic specification. In the first 19 estimations we include the own
level of one competency in both, main and selection equations. In the last column, we introduce the
variable measuring the variety of skills. All equations control for gender, age, field of study, grade in
secondary education, whether the study program gives access to doctorate studies and labor market
experience. Whether father has tertiary education is the exclusion restriction in the selection
equation. Only three competencies have a significantly negative coefficient in the selection
equation: alertness to opportunities, ability to work under pressure and knowledge of other fields.
These three competencies are therefore associated to a higher likelihood to become self-employed
(lower likelihood of wage employment). In contrast, the ability to work with others has a positive
and significant coefficient, indicating that this ability tends to increase the probability to choose
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wage employment. Alertness to opportunities is the competency more directly linked to
entrepreneurial skills in the entrepreneurship literature (Valliere, 2013). The two other
competencies closer to entrepreneurship - ability to come up with ideas (creativity) and willingness
to question them (counterfactual thinking) - do not seem to affect the decision to become self-
employed. The variety of skills, which is usually associated to entrepreneurs, is also not significant in
our estimation.
While only a few competencies appear relevant for the decision to become self-employed, many of
them are rewarded in wage employment. This is the case for the following competencies: the
mastery of own and other fields, analytical thinking, ability to work with others, ability to mobilize
others, ability to assert authority, ability to come up with ideas and solutions, willingness to question
ideas, ability to present to an audience, and ability to speak a foreign language. This result is in line
with the results in Hartog et al. (2010), who observe that clerical and verbal skills are most rewarded
in the wage employment. The number of skills is also positively rewarded in wage employment. This
positive result has also being found in Bublitz and Noseleit (2014). Other studies find a non-
significant effect (Hartog et al., 2010).
It is important to notice that among the competencies that increase the likelihood of self-
employment (alertness to opportunities, ability to work under pressure and knowledge of other
fields) only knowledge of other fields is rewarded in wage employment. This suggests that the
benefits of those policies promoting them come mostly from the increase in the likelihood of self-
employment.
Concerning the other variables in the model, we obtain that self-employment attracts rather young
individuals, with low grade in secondary education and some experience in the labor market.6 Self-
employed individuals graduated mostly from engineering, agriculture and veterinarian studies,
health and services. In most cases having a father with tertiary education increases the likelihood of
self-employment as predicted.
Individuals in wage employment earn more if they have studied a long program, especially in
education, engineering or health. Women earn on average lower wages than men do, while we find
no effect of age on wages. Individuals with a higher grade in secondary education (individuals with
higher cognitive ability) earn more on average.
In Table 4 we introduce in the main equation the job requirement level of each competency
together with the own level reported. The own level of competencies reported might be strongly
influenced by the type of job of the individual. It is therefore important to control for the job
requirement level of these competencies. Results on the selection into wage employment do not
change. However, the positive effects on wages of all competencies - except analytical thinking -
disappear. Moreover, the own level of ability to use time efficiently and write reports show negative
returns. Results reveal that wages are determined by the requirement level of each competency.
Table 5 adds some other job characteristics, such as whether it is in the public sector, whether the
contract is permanent and the firm size. All these variables increase the earnings of the individual.
Results on competencies remain unchanged. None of the competencies that increase the likelihood
of self-employment is rewarded in wage employment.
In Table 6, we estimate the Heckman selection model with all the competencies included
simultaneously. In column (1) we introduce the own level of competencies, field of study and
individual controls. In column (2), we add the required level of competencies to the previous
6 Recall that the dependent variable in the selection equation is whether the individual is in wage employment,
so the sign of the coefficients refer to the likelihood to be in wage employment.
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estimation. Column (3) reports the results after adding other job characteristics in the estimation.
Analytical thinking, ability to work with others and to assert authority are rewarded in wage
employment, even when controlling for job characteristics (column (3)). The competencies that
increase the probability of self-employment are alertness to opportunities, ability to mobilize others
and knowledge of other fields.7 Ability to work under pressure loses significance when all
competencies are introduced simultaneously. In any case, none of the competencies that increase
self-employment is positively rewarded in wage employment. Instead, the ability to mobilize others
appears negatively rewarded in wage employment. Even more, the entrepreneurial competencies
such as ability to work under pressure and alertness to opportunities reveal a negative coefficient in
the required level of competency in the job.
Finally, we estimate the effect of the level of competencies on the earnings of self-employed. Results
are, however, to be taken with caution since the sample of self-employed is very small (152
observations). Only the knowledge of other fields and the ability to write reports increase
significantly the earnings of self-employed individuals. The knowledge of other fields could be linked
to the theory of entrepreneurs with a balanced set of skills being more successful. Self-employed
individuals that studied a long program and engineering earn the most. Most of the entrepreneurial
skills do not increase income of the self-employed. Therefore, they seem to increase the likelihood
of self-employment, but not its quality. Only knowledge of other fields fosters self-employment and
its quality.
5. Conclusions
This paper identifies and estimates the effect of entrepreneurial competencies on wages for higher
education graduates in Spain. Entrepreneurial skills are understood as those competencies that
increase the likelihood of self-employment. We employ a sample of university graduates from the
REFLEX survey, who graduated in the year 2000, and were interviewed five years later.
Alertness to new opportunities, ability to mobilize others and knowledge of other fields are the
competencies that increase the probability of self-employment in Spain. In contrast, the ability to
work with others increases the likelihood to be in wage employment. We find that the competencies
that increase self-employment are generally not rewarded in neither wage employment nor self-
employment. They only augment the probability to become self-employed. Therefore, our results
suggest that policies promoting entrepreneurial skills of individuals do not have additional benefits
outside self-employment. The only exception is knowledge of other fields, which increases both the
likelihood of self-employment and its income. It is, however, not rewarded in wage employment.
This work has two main policy implications. On the one hand, we identify which competencies
should be included in entrepreneurship education in Spain: alertness to new opportunities, ability to
mobilize others and knowledge of other fields. On the other hand, we find that these competencies
are not rewarded in wage employment, so the benefits of policies promoting entrepreneurial
education remain within self-employment activity only. This should be taken into account when
deciding upon policies fostering entrepreneurship.
7 The knowledge of other fields may disguise the “Jack-of-all-trades” type of individuals described in Hartog et
al. (2010)
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14
Table 2. Descriptive statistics.
Self-employed Wage employment
Competencies (Own Level): Competencies (Required Level):
variable mean sd mean sd
Self-employed Wage employment Self-employed Wage employment
Female 0,546 0,499 0,632 0,482
Competency mean sd mean sd mean sd mean sd
Long program* 0,730 0,445 0,693 0,461
Mastery of own field 5,276 0,978 5,187 1,070 5,632 1,300 5,161 1,481
Grade secondary education 2,920 0,953 2,900 0,943
Knowledge other fields 4,553 1,155 4,349 1,225 4,388 1,536 4,125 1,535
Father w/ tertiary education 0,336 0,474 0,246 0,431
Analytical thinking 5,171 1,233 5,067 1,219 5,086 1,451 4,764 1,523
log(hourly wage) 2,191 0,371 2,154 0,377
Ability to learn 5,789 0,960 5,725 1,030 5,388 1,352 5,226 1,420
Public sector . . 0,322 0,467
Ability to negotiate 4,757 1,223 4,501 1,472 5,079 1,713 4,515 1,857
Permanent contract . . 0,616 0,486
Ability to work under pressure 5,717 1,124 5,419 1,273 5,704 1,249 5,374 1,530
Medium firm size . . 0,193 0,395
Alertness to opportunities 5,086 1,212 4,687 1,336 4,908 1,498 4,347 1,738
Large firm . . 0,530 0,499
Ability to coordinate 5,546 1,173 5,388 1,212 5,493 1,424 5,204 1,524
Months of experience . . 50,41 15,30
Ability to use time efficiently 5,572 1,171 5,494 1,161 5,803 1,191 5,555 1,350
Field of study
Ability to work with others 5,533 1,286 5,815 1,167 5,316 1,633 5,477 1,558
Education 0,079 0,271 0,108 0,311
Ability to mobilize others 5,000 1,287 4,759 1,321 4,921 1,609 4,713 1,704
Humanities and arts 0,092 0,290 0,064 0,245
Ability to make meaning clear 5,539 1,167 5,486 1,121 5,763 1,126 5,618 1,332
Social Sciences 0,211 0,409 0,349 0,477
Ability to assert authority 4,895 1,246 4,712 1,377 5,178 1,505 4,763 1,730
Science & Maths 0,086 0,281 0,148 0,355
Ability to use computers 5,533 1,207 5,645 1,231 5,138 1,456 5,261 1,507
Engineering 0,303 0,461 0,154 0,361
Ability to come up with ideas 5,474 1,029 5,295 1,138 5,513 1,229 5,169 1,463
Agriculture & Vet 0,066 0,249 0,041 0,198
Willingness to question ideas 5,309 1,246 5,297 1,206 5,099 1,436 4,722 1,562
Health and welfare 0,145 0,353 0,130 0,337
Ability to present 4,803 1,478 4,745 1,536 4,875 1,791 4,624 1,829
Services 0,020 0,140 0,006 0,078
Ability to write 5,474 1,145 5,425 1,257 5,454 1,491 5,086 1,666
Observations 152 2002
Foreign language 3,941 1,784 3,839 1,841 3,349 1,930 3,368 2,070
Number of skills 14,092 3,897 13,387 4,263 13,079 4,524 12,040 5,016
* dummy indicating whether studies provide direct access to doctorate.
15
Table 3a. Heckman selection model, benchmark model.
Mastery of own field Knowledge other fields Analytical thinking Ability to learn Ability to negotiate
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Own level of competence 0.013* -0.013 0.019*** -0.067** 0.041*** -0.005 0.011 -0.040 0.008 -0.043
(0.008) (0.036) (0.007) (0.033) (0.007) (0.032) (0.008) (0.042) (0.006) (0.028)
Female -0.094*** 0.014 -0.101*** 0.041 -0.085*** 0.014 -0.104*** 0.053 -0.094*** 0.014
(0.019) (0.084) (0.019) (0.086) (0.019) (0.084) (0.019) (0.086) (0.019) (0.084)
Age -0.001 -0.031** 0.006* -0.024 -0.000 -0.036** 0.006* -0.026 -0.001 -0.032**
(0.004) (0.016) (0.004) (0.016) (0.004) (0.015) (0.004) (0.016) (0.004) (0.016)
Long program 0.091*** -0.136 0.120*** -0.175* 0.075*** -0.117 0.120*** -0.169 0.089*** -0.137
(0.022) (0.097) (0.021) (0.103) (0.022) (0.098) (0.021) (0.103) (0.022) (0.097)
Grade secondary education 0.056*** 0.099** 0.057*** 0.015 0.052*** 0.102** 0.056*** 0.021 0.057*** 0.089**
(0.010) (0.044) (0.010) (0.046) (0.010) (0.044) (0.010) (0.046) (0.010) (0.045)
Experience 0.003*** -0.008*** 0.004*** -0.012*** 0.003*** -0.009*** 0.004*** -0.012*** 0.003*** -0.008***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Fields of study
Education 0.128*** 0.034 0.172*** -0.266 0.130*** 0.024 0.178*** -0.276* 0.127*** 0.034
(0.032) (0.156) (0.032) (0.162) (0.032) (0.154) (0.032) (0.162) (0.032) (0.155)
Humanities -0.040 -0.218 0.036 -0.245 -0.039 -0.193 0.039 -0.258 -0.034 -0.235
(0.037) (0.157) (0.037) (0.165) (0.037) (0.158) (0.037) (0.165) (0.037) (0.157)
Science &Maths 0.044 0.099 0.029 0.038 0.028 0.089 0.029 0.043 0.047* 0.075
(0.027) (0.142) (0.027) (0.144) (0.027) (0.140) (0.027) (0.144) (0.027) (0.143)
Engineering 0.132*** -0.536*** 0.207*** -0.582*** 0.116*** -0.510*** 0.208*** -0.576*** 0.130*** -0.544***
(0.028) (0.119) (0.028) (0.123) (0.028) (0.119) (0.028) (0.123) (0.028) (0.118)
Agriculture&Vet 0.021 -0.439** 0.088** -0.493*** 0.014 -0.411** 0.091** -0.506*** 0.021 -0.443**
(0.044) (0.188) (0.044) (0.190) (0.044) (0.186) (0.044) (0.190) (0.044) (0.189)
Health 0.070** -0.235* 0.140*** -0.397*** 0.066** -0.225* 0.140*** -0.387*** 0.073** -0.235*
(0.030) (0.136) (0.029) (0.139) (0.029) (0.136) (0.030) (0.138) (0.030) (0.138)
Services 0.102 -0.643* 0.282*** -0.619* 0.088 -0.587 0.282*** -0.628* 0.099 -0.613*
(0.107) (0.365) (0.107) (0.376) (0.107) (0.365) (0.108) (0.374) (0.107) (0.371)
Father w/ tertiary educ. -0.220*** -0.044 -0.215*** -0.051 -0.216***
(0.079) (0.081) (0.078) (0.081) (0.079)
Constant 1.706*** 2.944*** 1.458*** 3.469*** 1.568*** 3.028*** 1.470*** 3.409*** 1.727*** 3.147***
(0.119) (0.548) (0.117) (0.545) (0.118) (0.546) (0.125) (0.589) (0.117) (0.543)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .389 .386 .387 .387 .389
Rho .889 -.85 .897 -.848 .886
Lambda .346 -.328 .347 -.328 .345
* p<0.10, ** p<0.05, *** p<0.01
16
Table 3b. Heckman selection model, benchmark model.
Ability to work under pressure Alertness to opportunities Ability to coordinate Ability to use time efficiently Ability to work with others
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Own level of competence 0.003 -0.063** 0.004 -0.107*** 0.011 -0.042 -0.010 -0.038 0.018** 0.074**
(0.007) (0.032) (0.006) (0.031) (0.007) (0.032) (0.007) (0.033) (0.007) (0.029)
Female -0.095*** 0.012 -0.095*** 0.011 -0.097*** 0.028 -0.091*** 0.023 -0.098*** 0.000
(0.019) (0.085) (0.019) (0.083) (0.019) (0.084) (0.019) (0.085) (0.019) (0.085)
Age -0.001 -0.033** -0.001 -0.030* -0.001 -0.035** -0.002 -0.033** -0.001 -0.029*
(0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016)
Long program 0.089*** -0.123 0.087*** -0.092 0.089*** -0.124 0.089*** -0.135 0.091*** -0.125
(0.022) (0.098) (0.022) (0.097) (0.022) (0.097) (0.022) (0.097) (0.022) (0.097)
Grade in secondary edu. 0.057*** 0.098** 0.057*** 0.091** 0.057*** 0.098** 0.057*** 0.101** 0.057*** 0.102**
(0.010) (0.045) (0.010) (0.043) (0.010) (0.044) (0.010) (0.044) (0.010) (0.045)
Experience 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Fields of study
Education 0.130*** 0.030 0.127*** 0.081 0.127*** 0.035 0.129*** 0.041 0.124*** 0.031
(0.032) (0.157) (0.032) (0.153) (0.032) (0.155) (0.032) (0.156) (0.032) (0.157)
Humanities -0.035 -0.195 -0.038 -0.188 -0.036 -0.216 -0.033 -0.214 -0.038 -0.230
(0.037) (0.159) (0.037) (0.154) (0.037) (0.157) (0.037) (0.157) (0.037) (0.158)
Science&Maths 0.044 0.096 0.045* 0.103 0.045* 0.091 0.043 0.094 0.041 0.084
(0.027) (0.142) (0.027) (0.141) (0.027) (0.141) (0.027) (0.142) (0.027) (0.143)
Engineering 0.130*** -0.535*** 0.127*** -0.505*** 0.128*** -0.533*** 0.129*** -0.541*** 0.128*** -0.554***
(0.028) (0.119) (0.028) (0.117) (0.028) (0.118) (0.028) (0.118) (0.028) (0.119)
Agriculture&Vet 0.021 -0.440** 0.019 -0.388** 0.019 -0.440** 0.019 -0.453** 0.021 -0.478**
(0.044) (0.189) (0.045) (0.189) (0.044) (0.187) (0.045) (0.187) (0.044) (0.187)
Health 0.073** -0.235* 0.070** -0.180 0.074** -0.230* 0.073** -0.230* 0.067** -0.264*
(0.030) (0.138) (0.030) (0.134) (0.030) (0.137) (0.030) (0.136) (0.030) (0.137)
Services 0.103 -0.663* 0.096 -0.618* 0.102 -0.606* 0.102 -0.622* 0.100 -0.649*
(0.107) (0.368) (0.107) (0.361) (0.107) (0.367) (0.107) (0.365) (0.107) (0.365)
Father w/ tertiary educ. -0.210*** -0.230*** -0.216*** -0.213*** -0.214***
(0.079) (0.076) (0.078) (0.079) (0.080)
Constant 1.744*** 3.254*** 1.749*** 3.318*** 1.698*** 3.185*** 1.822*** 3.118*** 1.654*** 2.402***
(0.121) (0.562) (0.117) (0.534) (0.120) (0.560) (0.122) (0.567) (0.122) (0.558)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .388 .391 .389 .39 .389
Rho .881 .908 .889 .889 .888
Lambda .342 .355 .346 .346 .346
* p<0.10, ** p<0.05, *** p<0.01
17
Table 3c. Heckman selection model, benchmark model.
Ability to mobilize others Ability to make meaning clear Ability to assert authority Ability to use computers Ability to come up with ideas
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Own level of competence 0.011* -0.028 0.012 0.009 0.027*** -0.006 -0.001 0.007 0.015* -0.033
(0.006) (0.029) (0.008) (0.034) (0.006) (0.029) (0.007) (0.033) (0.008) (0.035)
Female -0.094*** 0.012 -0.095*** 0.012 -0.093*** 0.017 -0.094*** 0.013 -0.094*** 0.014
(0.019) (0.084) (0.019) (0.084) (0.019) (0.084) (0.019) (0.085) (0.019) (0.085)
Age -0.001 -0.033** -0.001 -0.032** -0.002 -0.035** -0.001 -0.031** -0.001 -0.035**
(0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016)
Long program 0.088*** -0.129 0.089*** -0.131 0.089*** -0.124 0.089*** -0.134 0.089*** -0.133
(0.022) (0.097) (0.022) (0.097) (0.021) (0.097) (0.022) (0.097) (0.021) (0.097)
Grade in secondary edu. 0.057*** 0.099** 0.056*** 0.099** 0.057*** 0.093** 0.057*** 0.100** 0.057*** 0.096**
(0.010) (0.045) (0.010) (0.045) (0.010) (0.045) (0.010) (0.045) (0.010) (0.045)
Experience 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.009*** 0.003*** -0.008*** 0.003*** -0.008***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Field of study:
Education 0.128*** 0.047 0.126*** 0.035 0.118*** 0.025 0.128*** 0.048 0.125*** 0.032
(0.032) (0.157) (0.032) (0.156) (0.032) (0.157) (0.032) (0.157) (0.032) (0.156)
Humanities -0.037 -0.212 -0.038 -0.230 -0.039 -0.245 -0.035 -0.226 -0.040 -0.215
(0.037) (0.157) (0.037) (0.157) (0.037) (0.157) (0.037) (0.157) (0.037) (0.158)
Science&Maths 0.045* 0.093 0.044 0.096 0.044* 0.086 0.044 0.099 0.040 0.099
(0.027) (0.142) (0.027) (0.142) (0.027) (0.142) (0.027) (0.142) (0.027) (0.142)
Engineering 0.128*** -0.526*** 0.131*** -0.535*** 0.128*** -0.528*** 0.130*** -0.540*** 0.126*** -0.530***
(0.028) (0.119) (0.028) (0.119) (0.028) (0.119) (0.028) (0.119) (0.028) (0.119)
Agriculture&Vet 0.020 -0.425** 0.023 -0.450** 0.018 -0.433** 0.020 -0.453** 0.021 -0.435**
(0.044) (0.188) (0.044) (0.187) (0.044) (0.188) (0.045) (0.187) (0.044) (0.188)
Health 0.069** -0.219 0.070** -0.234* 0.069** -0.230* 0.072** -0.233* 0.071** -0.234*
(0.030) (0.137) (0.030) (0.137) (0.029) (0.138) (0.030) (0.136) (0.030) (0.137)
Services 0.104 -0.608* 0.105 -0.629* 0.083 -0.634* 0.101 -0.620* 0.103 -0.659*
(0.107) (0.369) (0.107) (0.365) (0.107) (0.369) (0.108) (0.367) (0.107) (0.369)
Father w/ tertiary educ. -0.220*** -0.213*** -0.209*** -0.214*** -0.223***
(0.079) (0.079) (0.079) (0.079) (0.079)
Constant 1.718*** 3.066*** 1.706*** 2.847*** 1.661*** 3.047*** 1.767*** 2.824*** 1.686*** 3.162***
(0.116) (0.542) (0.119) (0.546) (0.115) (0.547) (0.123) (0.566) (0.120) (0.566)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .389 .389 .387 .39 .388
Rho .887 .888 .885 .888 .883
Lambda .345 .346 .342 .346 .343
* p<0.10, ** p<0.05, *** p<0.01
18
Table 3d. Heckman selection model, benchmark model.
Willingness to question ideas Ability to present Ability to write Foreign language Number of skills
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Own level of competence 0.019*** 0.015 0.014** 0.024 0.005 0.018 0.009* 0.005 0.009*** -0.014
(0.007) (0.032) (0.006) (0.026) (0.007) (0.032) (0.005) (0.023) (0.002) (0.010)
Female -0.092*** 0.015 -0.093*** 0.016 -0.094*** 0.013 -0.093*** 0.011 -0.102*** 0.045
(0.019) (0.084) (0.019) (0.085) (0.019) (0.084) (0.019) (0.084) (0.019) (0.085)
Age -0.001 -0.032** -0.001 -0.031** -0.001 -0.031** -0.001 -0.032** 0.007* -0.025
(0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016)
Long program 0.088*** -0.131 0.084*** -0.142 0.088*** -0.136 0.085*** -0.133 0.115*** -0.160
(0.022) (0.097) (0.022) (0.097) (0.022) (0.097) (0.022) (0.097) (0.021) (0.103)
Grade in secondary edu. 0.056*** 0.099** 0.055*** 0.096** 0.056*** 0.099** 0.053*** 0.098** 0.054*** 0.020
(0.010) (0.044) (0.010) (0.045) (0.010) (0.045) (0.010) (0.045) (0.010) (0.046)
Experience 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008*** 0.004*** -0.012***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Fields of study
Education 0.129*** 0.044 0.120*** 0.024 0.128*** 0.042 0.129*** 0.040 0.171*** -0.263
(0.032) (0.155) (0.032) (0.157) (0.032) (0.156) (0.032) (0.156) (0.032) (0.161)
Humanities -0.038 -0.230 -0.038 -0.232 -0.037 -0.227 -0.044 -0.236 0.034 -0.246
(0.037) (0.157) (0.037) (0.157) (0.037) (0.157) (0.037) (0.158) (0.037) (0.164)
Science&Maths 0.042 0.094 0.042 0.095 0.045* 0.102 0.040 0.093 0.029 0.035
(0.027) (0.142) (0.027) (0.142) (0.027) (0.142) (0.027) (0.142) (0.027) (0.143)
Engineering 0.126*** -0.539*** 0.127*** -0.540*** 0.129*** -0.539*** 0.125*** -0.542*** 0.203*** -0.573***
(0.028) (0.118) (0.028) (0.119) (0.028) (0.118) (0.028) (0.119) (0.028) (0.123)
Agriculture&Vet 0.017 -0.452** 0.017 -0.456** 0.020 -0.458** 0.017 -0.459** 0.089** -0.487**
(0.044) (0.187) (0.044) (0.188) (0.045) (0.187) (0.044) (0.187) (0.044) (0.190)
Health 0.070** -0.232* 0.070** -0.239* 0.073** -0.232* 0.073** -0.235* 0.138*** -0.377***
(0.030) (0.136) (0.030) (0.137) (0.030) (0.136) (0.030) (0.136) (0.029) (0.138)
Services 0.093 -0.638* 0.104 -0.629* 0.102 -0.622* 0.091 -0.629* 0.283*** -0.620*
(0.107) (0.366) (0.107) (0.365) (0.108) (0.365) (0.108) (0.365) (0.107) (0.374)
Father w/ tertiary educ. -0.217*** -0.218*** -0.214*** -0.209*** -0.045
(0.079) (0.079) (0.079) (0.080) (0.081)
Constant 1.660*** 2.823*** 1.707*** 2.777*** 1.737*** 2.769*** 1.730*** 2.876*** 1.421*** 3.338***
(0.120) (0.558) (0.115) (0.535) (0.119) (0.552) (0.115) (0.534) (0.116) (0.540)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .389 .389 .39 .389 .386
Rho .891 .885 .889 .889 -.854
Lambda .347 .344 .347 .346 -.329
* p<0.10, ** p<0.05, *** p<0.01
19
Table 4a. Heckman selection with required level of competences
Mastery of own field Knowledge other fields Analytical thinking Ability to learn Ability to negotiate
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competency 0.038*** 0.022*** 0.034*** 0.025*** 0.025***
(0.006) (0.006) (0.006) (0.006) (0.005)
Own level of competency -0.002 -0.010 -0.002 -0.057* 0.018** -0.004 -0.009 -0.029 -0.009 -0.042
(0.008) (0.037) (0.008) (0.033) (0.008) (0.033) (0.009) (0.037) (0.007) (0.028)
Female -0.095*** 0.025 -0.098*** -0.001 -0.085*** 0.013 -0.096*** 0.008 -0.097*** 0.012
(0.018) (0.087) (0.019) (0.085) (0.019) (0.085) (0.019) (0.084) (0.019) (0.084)
Age 0.001 -0.035** -0.001 -0.034** 0.001 -0.037** -0.000 -0.035** -0.000 -0.033**
(0.003) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016)
Long program 0.085*** -0.134 0.091*** -0.122 0.071*** -0.110 0.085*** -0.121 0.087*** -0.146
(0.021) (0.099) (0.021) (0.097) (0.021) (0.099) (0.021) (0.097) (0.021) (0.097)
Grade in secondary educ. 0.056*** 0.091** 0.057*** 0.095** 0.054*** 0.102** 0.057*** 0.100** 0.057*** 0.094**
(0.010) (0.046) (0.010) (0.045) (0.010) (0.045) (0.010) (0.045) (0.010) (0.044)
Experience 0.003*** -0.009*** 0.003*** -0.009*** 0.003*** -0.009*** 0.003*** -0.008*** 0.003*** -0.009***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Education 0.129*** -0.038 0.131*** 0.012 0.136*** 0.012 0.132*** 0.018 0.136*** 0.053
(0.031) (0.162) (0.032) (0.157) (0.032) (0.156) (0.032) (0.157) (0.032) (0.154)
Humanities -0.017 -0.245 -0.035 -0.221 -0.025 -0.191 -0.028 -0.206 -0.024 -0.242
(0.036) (0.162) (0.037) (0.157) (0.036) (0.160) (0.037) (0.157) (0.037) (0.155)
Science&Maths 0.048* 0.116 0.042 0.114 0.024 0.119 0.041 0.099 0.054** 0.089
(0.026) (0.146) (0.027) (0.145) (0.027) (0.142) (0.027) (0.142) (0.027) (0.142)
Engineering 0.131*** -0.519*** 0.124*** -0.515*** 0.109*** -0.499*** 0.129*** -0.526*** 0.129*** -0.529***
(0.027) (0.122) (0.028) (0.119) (0.028) (0.120) (0.028) (0.119) (0.028) (0.119)
Agriculture&Vet 0.025 -0.454** 0.019 -0.434** 0.013 -0.413** 0.024 -0.448** 0.023 -0.424**
(0.044) (0.190) (0.044) (0.189) (0.044) (0.188) (0.044) (0.188) (0.044) (0.188)
Health 0.054* -0.263* 0.073** -0.252* 0.060** -0.232* 0.069** -0.232* 0.077*** -0.241*
(0.029) (0.141) (0.029) (0.137) (0.029) (0.138) (0.030) (0.137) (0.029) (0.136)
Services 0.113 -0.703* 0.112 -0.638* 0.091 -0.614* 0.101 -0.656* 0.090 -0.576
(0.106) (0.372) (0.107) (0.367) (0.106) (0.365) (0.107) (0.365) (0.107) (0.367)
Father w/ tertiary educ. -0.217*** -0.225*** -0.207*** -0.207*** -0.207***
(0.083) (0.080) (0.079) (0.080) (0.079)
Constant 1.542*** 3.087*** 1.670*** 3.232*** 1.476*** 3.061*** 1.657*** 3.143*** 1.666*** 3.161***
(0.119) (0.557) (0.117) (0.551) (0.118) (0.552) (0.126) (0.583) (0.117) (0.539)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .38 .386 .382 .388 .387
Rho .846 .877 .886 .887 .891
Lambda .322 .339 .339 .344 .345
* p<0.10, ** p<0.05, *** p<0.01
20
Table 4b. Heckman selection with required level of competences
Ability to work under pressure Alertness to opportunities Ability to coordinate Ability to use time efficiently Ability to work with others
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.009 0.013** 0.037*** 0.031*** 0.023***
(0.006) (0.005) (0.006) (0.006) (0.006)
Own level of competence -0.003 -0.062* -0.004 -0.107*** -0.013 -0.045 -0.023*** -0.033 0.003 0.074**
(0.008) (0.032) (0.007) (0.031) (0.008) (0.033) (0.008) (0.033) (0.008) (0.029)
Female -0.095*** 0.011 -0.098*** 0.007 -0.101*** 0.030 -0.097*** 0.031 -0.102*** -0.003
(0.019) (0.085) (0.019) (0.084) (0.019) (0.086) (0.019) (0.086) (0.019) (0.085)
Age -0.001 -0.034** -0.000 -0.031** 0.000 -0.037** 0.000 -0.035** -0.000 -0.032**
(0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016) (0.004) (0.016)
Long program 0.088*** -0.123 0.085*** -0.099 0.086*** -0.124 0.085*** -0.135 0.089*** -0.121
(0.022) (0.098) (0.022) (0.097) (0.021) (0.099) (0.021) (0.098) (0.021) (0.098)
Grade secondary educ. 0.057*** 0.097** 0.058*** 0.092** 0.057*** 0.095** 0.058*** 0.097** 0.057*** 0.099**
(0.010) (0.045) (0.010) (0.044) (0.010) (0.045) (0.010) (0.045) (0.010) (0.045)
Experience 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.009*** 0.003*** -0.008***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Education 0.132*** 0.029 0.132*** 0.085 0.130*** -0.001 0.129*** 0.014 0.122*** 0.010
(0.032) (0.158) (0.032) (0.155) (0.032) (0.159) (0.032) (0.158) (0.032) (0.158)
Humanities -0.033 -0.193 -0.032 -0.198 -0.028 -0.254 -0.027 -0.224 -0.033 -0.258
(0.037) (0.159) (0.037) (0.154) (0.036) (0.157) (0.037) (0.158) (0.037) (0.157)
Science&Maths 0.045* 0.095 0.046* 0.106 0.049* 0.096 0.044* 0.110 0.045* 0.091
(0.027) (0.142) (0.027) (0.142) (0.027) (0.144) (0.027) (0.144) (0.027) (0.144)
Engineering 0.129*** -0.537*** 0.126*** -0.508*** 0.122*** -0.533*** 0.128*** -0.537*** 0.125*** -0.555***
(0.028) (0.119) (0.028) (0.118) (0.028) (0.120) (0.028) (0.120) (0.028) (0.120)
Agriculture&Vet 0.024 -0.443** 0.020 -0.394** 0.014 -0.475** 0.021 -0.456** 0.021 -0.491***
(0.044) (0.189) (0.044) (0.190) (0.044) (0.187) (0.044) (0.188) (0.044) (0.188)
Health 0.072** -0.240* 0.073** -0.190 0.073** -0.257* 0.075** -0.245* 0.060** -0.276**
(0.030) (0.139) (0.030) (0.135) (0.029) (0.140) (0.029) (0.138) (0.030) (0.138)
Services 0.105 -0.673* 0.097 -0.624* 0.101 -0.664* 0.113 -0.670* 0.110 -0.645*
(0.107) (0.368) (0.107) (0.363) (0.106) (0.371) (0.107) (0.366) (0.107) (0.367)
Father w/ tertiary educ. -0.209*** -0.224*** -0.210*** -0.212*** -0.207**
(0.080) (0.077) (0.080) (0.080) (0.081)
Constant 1.725*** 3.270*** 1.712*** 3.344*** 1.617*** 3.301*** 1.678*** 3.173*** 1.595*** 2.488***
(0.121) (0.563) (0.118) (0.538) (0.119) (0.567) (0.124) (0.577) (0.122) (0.562)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .388 .389 .383 .386 .386
Rho .878 .901 .872 .876 .878
Lambda .341 .351 .334 .338 .339
* p<0.10, ** p<0.05, *** p<0.01
21
Table 4c. Heckman selection with required level of competences
Ability to mobilize others Ability to make meaning clear Ability to assert authority Ability to use computers Ability to come up with ideas
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.034*** 0.050*** 0.037*** 0.001 0.034***
(0.005) (0.007) (0.005) (0.006) (0.006)
Own level of competence -0.012 -0.032 -0.010 -0.019 0.005 -0.004 -0.001 0.007 -0.005 -0.031
(0.007) (0.029) (0.008) (0.037) (0.007) (0.029) (0.008) (0.033) (0.008) (0.035)
Female -0.096*** 0.007 -0.113*** 0.042 -0.098*** 0.023 -0.094*** 0.013 -0.099*** 0.013
(0.019) (0.085) (0.018) (0.087) (0.018) (0.085) (0.019) (0.085) (0.019) (0.086)
Age -0.000 -0.035** 0.008** -0.028* -0.000 -0.037** -0.001 -0.031** 0.001 -0.037**
(0.004) (0.016) (0.003) (0.016) (0.003) (0.016) (0.004) (0.016) (0.004) (0.016)
Long program 0.085*** -0.127 0.103*** -0.164 0.085*** -0.121 0.089*** -0.133 0.084*** -0.136
(0.021) (0.098) (0.021) (0.104) (0.021) (0.099) (0.022) (0.097) (0.021) (0.099)
Grade secondary educ. 0.056*** 0.096** 0.057*** 0.023 0.057*** 0.089** 0.057*** 0.100** 0.055*** 0.093**
(0.010) (0.045) (0.010) (0.046) (0.010) (0.045) (0.010) (0.045) (0.010) (0.045)
Experience 0.003*** -0.008*** 0.004*** -0.012*** 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.008***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Education 0.122*** 0.046 0.163*** -0.274* 0.106*** 0.023 0.129*** 0.047 0.121*** 0.013
(0.032) (0.158) (0.031) (0.165) (0.031) (0.162) (0.032) (0.157) (0.032) (0.160)
Humanities -0.032 -0.255 0.032 -0.274 -0.039 -0.290* -0.035 -0.225 -0.035 -0.228
(0.036) (0.155) (0.036) (0.168) (0.036) (0.157) (0.037) (0.157) (0.036) (0.158)
Science&Maths 0.052* 0.101 0.034 0.043 0.048* 0.111 0.044 0.099 0.036 0.132
(0.027) (0.142) (0.026) (0.146) (0.026) (0.143) (0.027) (0.142) (0.027) (0.145)
Engineering 0.122*** -0.530*** 0.198*** -0.569*** 0.115*** -0.513*** 0.130*** -0.540*** 0.116*** -0.525***
(0.028) (0.120) (0.027) (0.125) (0.027) (0.121) (0.028) (0.119) (0.028) (0.120)
Agriculture&Vet 0.019 -0.436** 0.090** -0.489** 0.009 -0.425** 0.020 -0.454** 0.018 -0.431**
(0.044) (0.187) (0.044) (0.192) (0.043) (0.188) (0.045) (0.187) (0.044) (0.189)
Health 0.064** -0.219 0.122*** -0.372*** 0.061** -0.224 0.072** -0.233* 0.069** -0.233*
(0.029) (0.138) (0.029) (0.140) (0.029) (0.141) (0.030) (0.136) (0.029) (0.139)
Services 0.100 -0.603* 0.249** -0.651* 0.075 -0.655* 0.101 -0.620* 0.094 -0.694*
(0.106) (0.366) (0.106) (0.382) (0.105) (0.368) (0.108) (0.367) (0.106) (0.372)
Father w/ tertiary educ. -0.189** -0.064 -0.190** -0.214*** -0.209***
(0.080) (0.083) (0.081) (0.079) (0.080)
Constant 1.653*** 3.137*** 1.285*** 3.324*** 1.550*** 3.072*** 1.765*** 2.826*** 1.587*** 3.240***
(0.116) (0.550) (0.119) (0.553) (0.114) (0.556) (0.123) (0.566) (0.120) (0.570)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .384 .378 .38 .39 .383
Rho .882 -.822 .869 .888 .868
Lambda .339 -.311 .33 .346 .333
* p<0.10, ** p<0.05, *** p<0.01
22
Table 4d. Heckman selection with required level of competences
Willingness to question ideas Ability to present Ability to write Foreign language Number of skills
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.031*** 0.029*** 0.037*** 0.016*** 0.012***
(0.006) (0.005) (0.006) (0.004) (0.002)
Own level of competence 0.003 0.017 -0.005 0.024 -0.020** 0.020 0.000 0.004 -0.000 -0.006
(0.008) (0.032) (0.006) (0.026) (0.008) (0.032) (0.005) (0.023) (0.002) (0.010)
Female -0.097*** 0.006 -0.096*** 0.021 -0.099*** 0.005 -0.093*** 0.009 -0.101*** 0.012
(0.019) (0.086) (0.019) (0.085) (0.019) (0.086) (0.019) (0.085) (0.019) (0.086)
Age 0.000 -0.033** -0.000 -0.032** 0.000 -0.033** -0.000 -0.033** 0.001 -0.036**
(0.004) (0.016) (0.004) (0.016) (0.003) (0.016) (0.004) (0.016) (0.003) (0.016)
Long program 0.083*** -0.138 0.075*** -0.142 0.079*** -0.136 0.081*** -0.121 0.079*** -0.125
(0.021) (0.098) (0.021) (0.098) (0.021) (0.099) (0.022) (0.098) (0.021) (0.099)
Grade secondary educ. 0.056*** 0.092** 0.055*** 0.094** 0.058*** 0.095** 0.053*** 0.095** 0.056*** 0.089**
(0.010) (0.045) (0.010) (0.045) (0.010) (0.046) (0.010) (0.045) (0.010) (0.045)
Experience 0.003*** -0.008*** 0.003*** -0.008*** 0.003*** -0.009*** 0.003*** -0.008*** 0.003*** -0.009***
(0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003) (0.001) (0.003)
Education 0.127*** 0.033 0.108*** 0.002 0.131*** -0.001 0.129*** 0.029 0.129*** 0.012
(0.032) (0.159) (0.032) (0.161) (0.032) (0.162) (0.032) (0.157) (0.031) (0.161)
Humanities -0.030 -0.231 -0.031 -0.247 -0.016 -0.245 -0.046 -0.238 -0.024 -0.243
(0.036) (0.159) (0.036) (0.158) (0.036) (0.159) (0.037) (0.157) (0.036) (0.158)
Science&Maths 0.041 0.123 0.038 0.129 0.039 0.119 0.033 0.117 0.045* 0.113
(0.027) (0.144) (0.027) (0.145) (0.027) (0.146) (0.027) (0.143) (0.026) (0.145)
Engineering 0.115*** -0.542*** 0.119*** -0.531*** 0.123*** -0.531*** 0.116*** -0.531*** 0.112*** -0.514***
(0.028) (0.120) (0.028) (0.120) (0.027) (0.120) (0.028) (0.119) (0.027) (0.121)
Agriculture&Vet 0.012 -0.448** 0.015 -0.459** 0.012 -0.494*** 0.022 -0.456** 0.022 -0.424**
(0.044) (0.187) (0.044) (0.188) (0.044) (0.187) (0.044) (0.187) (0.044) (0.190)
Health 0.064** -0.233* 0.068** -0.227 0.080*** -0.236* 0.069** -0.212 0.073** -0.230
(0.029) (0.138) (0.029) (0.139) (0.029) (0.140) (0.030) (0.137) (0.029) (0.142)
Services 0.095 -0.660* 0.119 -0.643* 0.124 -0.681* 0.096 -0.614* 0.127 -0.685*
(0.106) (0.367) (0.106) (0.366) (0.106) (0.372) (0.107) (0.367) (0.106) (0.372)
Father w/ tertiary educ. -0.216*** -0.208** -0.191** -0.205** -0.202**
(0.080) (0.081) (0.083) (0.081) (0.081)
Constant 1.584*** 2.870*** 1.652*** 2.800*** 1.647*** 2.840*** 1.715*** 2.903*** 1.588*** 3.149***
(0.119) (0.568) (0.114) (0.544) (0.118) (0.563) (0.114) (0.535) (0.115) (0.550)
Observations 2154 2154 2154 2154 2154
Censored Obs. 152 152 152 152 152
Sigma .384 .383 .382 .388 .381
Rho .874 .868 .859 .886 .859
Lambda .336 .333 .328 .343 .327
* p<0.10, ** p<0.05, *** p<0.01
23
Table 5a. Heckman selection with job characteristics
Mastery of own field Knowledge other fields Analytical thinking Ability to learn Ability to negotiate
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.036*** 0.021*** 0.031*** 0.026*** 0.031***
(0.006) (0.006) (0.006) (0.006) (0.005)
Own level of competence -0.006 -0.020 -0.004 -0.064* 0.012 -0.002 -0.010 -0.027 -0.007 -0.051
(0.008) (0.042) (0.007) (0.035) (0.008) (0.035) (0.009) (0.042) (0.006) (0.031)
Grade secondary educ. 0.029*** 0.046 0.030*** 0.054 0.028*** 0.060 0.030*** 0.061 0.030*** 0.048
(0.009) (0.052) (0.009) (0.050) (0.009) (0.050) (0.009) (0.050) (0.009) (0.050)
Education 0.088*** -0.300* 0.083*** -0.230 0.088*** -0.241 0.085*** -0.238 0.084*** -0.222
(0.031) (0.179) (0.031) (0.183) (0.031) (0.181) (0.031) (0.182) (0.031) (0.182)
Humanities -0.029 -0.406** -0.051 -0.375** -0.041 -0.375** -0.045 -0.374** -0.042 -0.394**
(0.035) (0.175) (0.035) (0.172) (0.034) (0.172) (0.035) (0.171) (0.034) (0.172)
Science&Maths 0.063*** 0.113 0.057** 0.134 0.043* 0.130 0.058** 0.123 0.073*** 0.111
(0.024) (0.158) (0.025) (0.157) (0.025) (0.157) (0.025) (0.155) (0.025) (0.157)
Engineering 0.173*** -0.513*** 0.162*** -0.499*** 0.149*** -0.495*** 0.167*** -0.503*** 0.169*** -0.506***
(0.027) (0.130) (0.027) (0.129) (0.027) (0.130) (0.027) (0.128) (0.026) (0.129)
Agriculture&Vet 0.041 -0.481** 0.030 -0.479** 0.023 -0.481** 0.033 -0.487** 0.029 -0.479**
(0.042) (0.202) (0.042) (0.201) (0.042) (0.200) (0.042) (0.200) (0.042) (0.200)
Health 0.035 -0.440*** 0.041 -0.391** 0.031 -0.390** 0.039 -0.389** 0.039 -0.407***
(0.029) (0.155) (0.029) (0.160) (0.029) (0.159) (0.029) (0.158) (0.029) (0.157)
Services 0.044 -0.880** 0.030 -0.854** 0.014 -0.852** 0.018 -0.874** -0.001 -0.847**
(0.101) (0.392) (0.102) (0.389) (0.101) (0.389) (0.102) (0.386) (0.101) (0.390)
Public sector 0.210*** 0.215*** 0.212*** 0.216*** 0.236***
(0.019) (0.019) (0.019) (0.019) (0.019)
Permanent contract 0.160*** 0.161*** 0.161*** 0.162*** 0.154***
(0.017) (0.017) (0.017) (0.017) (0.017)
Medium firm 0.100*** 0.096*** 0.095*** 0.097*** 0.096***
(0.023) (0.023) (0.022) (0.023) (0.022)
Large firm 0.139*** 0.135*** 0.128*** 0.132*** 0.135***
(0.019) (0.019) (0.019) (0.019) (0.019)
Father w/ tertiary educ. -0.232** -0.232*** -0.227** -0.231** -0.229**
(0.093) (0.090) (0.090) (0.090) (0.090)
Constant 1.516*** 3.532*** 1.652*** 3.662*** 1.497*** 3.375*** 1.631*** 3.519*** 1.596*** 3.640***
(0.113) (0.585) (0.111) (0.568) (0.111) (0.567) (0.119) (0.605) (0.109) (0.557)
Observations 1997 1997 1997 1997 1997
Censored Obs. 152 152 152 152 152
Sigma .332 .342 .34 .343 .339
Rho .486 .652 .662 .669 .643
Lambda .161 .223 .225 .23 .218
Other controls included: female, age, long program, experience. * p<0.10, ** p<0.05, *** p<0.01
24
Table 5b. Heckman selection with job characteristics
Ability to work under pressure Alertness to opportunities Ability to coordinate Ability to use time efficiently Ability to work with others
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.013** 0.021*** 0.037*** 0.033*** 0.020***
(0.006) (0.005) (0.006) (0.006) (0.006)
Own level of competence 0.000 -0.077** -0.006 -0.110*** -0.009 -0.059 -0.022*** -0.043 0.004 0.087**
(0.008) (0.036) (0.007) (0.035) (0.008) (0.036) (0.007) (0.036) (0.008) (0.034)
Grade secondary educ. 0.030*** 0.058 0.031*** 0.050 0.029*** 0.060 0.031*** 0.063 0.030*** 0.054
(0.009) (0.050) (0.009) (0.050) (0.009) (0.050) (0.009) (0.049) (0.009) (0.051)
Education 0.085*** -0.228 0.086*** -0.200 0.079** -0.226 0.078** -0.213 0.075** -0.285
(0.031) (0.185) (0.031) (0.187) (0.031) (0.178) (0.031) (0.179) (0.031) (0.186)
Humanities -0.052 -0.355** -0.045 -0.371** -0.051 -0.388** -0.048 -0.373** -0.050 -0.404**
(0.035) (0.173) (0.035) (0.173) (0.034) (0.170) (0.035) (0.168) (0.035) (0.174)
Science&Maths 0.062** 0.118 0.062** 0.127 0.065*** 0.104 0.060** 0.129 0.061** 0.096
(0.025) (0.156) (0.025) (0.158) (0.025) (0.155) (0.025) (0.155) (0.025) (0.158)
Engineering 0.165*** -0.506*** 0.166*** -0.491*** 0.159*** -0.508*** 0.163*** -0.509*** 0.166*** -0.528***
(0.027) (0.128) (0.027) (0.129) (0.026) (0.128) (0.026) (0.127) (0.027) (0.129)
Agriculture&Vet 0.035 -0.488** 0.032 -0.457** 0.024 -0.502** 0.027 -0.484** 0.033 -0.511**
(0.042) (0.201) (0.042) (0.202) (0.042) (0.199) (0.042) (0.199) (0.042) (0.200)
Health 0.037 -0.389** 0.041 -0.371** 0.039 -0.406*** 0.041 -0.364** 0.032 -0.446***
(0.029) (0.158) (0.029) (0.161) (0.029) (0.156) (0.029) (0.158) (0.030) (0.159)
Services 0.024 -0.900** 0.017 -0.876** 0.014 -0.847** 0.026 -0.859** 0.037 -0.909**
(0.102) (0.388) (0.102) (0.389) (0.101) (0.390) (0.102) (0.383) (0.102) (0.387)
Public sector 0.222*** 0.225*** 0.216*** 0.217*** 0.220***
(0.019) (0.020) (0.019) (0.019) (0.019)
Permanent contract 0.159*** 0.158*** 0.156*** 0.158*** 0.157***
(0.017) (0.017) (0.017) (0.017) (0.017)
Medium firm 0.094*** 0.097*** 0.098*** 0.095*** 0.091***
(0.023) (0.023) (0.022) (0.023) (0.023)
Large firm 0.131*** 0.137*** 0.139*** 0.133*** 0.128***
(0.019) (0.019) (0.019) (0.019) (0.019)
Father w/ tertiary educ. -0.224** -0.237*** -0.218** -0.226** -0.234**
(0.090) (0.090) (0.090) (0.089) (0.092)
Constant 1.660*** 3.752*** 1.644*** 3.853*** 1.572*** 3.709*** 1.641*** 3.588*** 1.583*** 2.892***
(0.114) (0.584) (0.112) (0.572) (0.112) (0.574) (0.117) (0.581) (0.113) (0.570)
Observations 1997 1997 1997 1997 1997
Censored Obs. 152 152 152 152 152
Sigma .344 .341 .341 .345 .34
Rho .657 .645 .671 .712 .603
Lambda .226 .22 .229 .246 .205
Other controls included: female, age, long program, experience. * p<0.10, ** p<0.05, *** p<0.01
25
Table 5c. Heckman selection with job characteristics
Ability to mobilize others Ability to make meaning clear Ability to assert authority Ability to use computers Ability to come up with ideas
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.032*** 0.042*** 0.032*** 0.004 0.033***
(0.005) (0.006) (0.005) (0.006) (0.006)
Own level of competence -0.011 -0.048 -0.013 -0.001 0.003 -0.025 -0.004 0.031 -0.002 -0.057
(0.007) (0.032) (0.008) (0.037) (0.006) (0.032) (0.008) (0.035) (0.008) (0.039)
Grade secondary educ. 0.030*** 0.064 0.031*** 0.059 0.031*** 0.056 0.030*** 0.059 0.028*** 0.054
(0.009) (0.050) (0.009) (0.050) (0.009) (0.050) (0.009) (0.050) (0.009) (0.051)
Education 0.074** -0.200 0.076** -0.229 0.062** -0.223 0.083*** -0.209 0.077** -0.242
(0.031) (0.183) (0.031) (0.183) (0.031) (0.185) (0.031) (0.184) (0.031) (0.183)
Humanities -0.054 -0.380** -0.055 -0.388** -0.058* -0.394** -0.052 -0.386** -0.051 -0.388**
(0.034) (0.169) (0.034) (0.171) (0.034) (0.171) (0.035) (0.171) (0.034) (0.173)
Science&Maths 0.068*** 0.125 0.062** 0.128 0.063** 0.124 0.060** 0.109 0.051** 0.134
(0.025) (0.155) (0.025) (0.156) (0.025) (0.156) (0.025) (0.156) (0.025) (0.158)
Engineering 0.158*** -0.498*** 0.158*** -0.506*** 0.154*** -0.498*** 0.167*** -0.522*** 0.154*** -0.501***
(0.026) (0.128) (0.027) (0.128) (0.027) (0.129) (0.027) (0.128) (0.027) (0.129)
Agriculture&Vet 0.029 -0.467** 0.030 -0.488** 0.019 -0.476** 0.031 -0.489** 0.031 -0.477**
(0.042) (0.200) (0.042) (0.199) (0.042) (0.200) (0.042) (0.199) (0.042) (0.201)
Health 0.030 -0.358** 0.032 -0.386** 0.031 -0.381** 0.042 -0.383** 0.044 -0.413***
(0.029) (0.159) (0.029) (0.159) (0.029) (0.162) (0.029) (0.157) (0.029) (0.158)
Services 0.020 -0.830** 0.002 -0.872** -0.001 -0.852** 0.022 -0.843** 0.014 -0.894**
(0.102) (0.391) (0.101) (0.387) (0.101) (0.388) (0.103) (0.389) (0.101) (0.389)
Public sector 0.215*** 0.206*** 0.209*** 0.216*** 0.212***
(0.019) (0.019) (0.019) (0.019) (0.019)
Permanent contract 0.156*** 0.154*** 0.148*** 0.159*** 0.158***
(0.017) (0.017) (0.017) (0.017) (0.017)
Medium firm 0.089*** 0.092*** 0.089*** 0.094*** 0.095***
(0.023) (0.023) (0.022) (0.023) (0.023)
Large firm 0.131*** 0.132*** 0.134*** 0.133*** 0.138***
(0.019) (0.019) (0.018) (0.019) (0.019)
Father w/ tertiary educ. -0.213** -0.219** -0.211** -0.234*** -0.218**
(0.090) (0.090) (0.091) (0.090) (0.091)
Constant 1.639*** 3.538*** 1.541*** 3.322*** 1.568*** 3.461*** 1.734*** 3.102*** 1.550*** 3.734***
(0.109) (0.553) (0.114) (0.567) (0.108) (0.559) (0.115) (0.586) (0.114) (0.585)
Observations 1997 1997 1997 1997 1997
Censored Obs. 152 152 152 152 152
Sigma .342 .341 .339 .345 .337
Rho .691 .664 .652 .665 .595
Lambda .237 .226 .221 .229 .201
Other controls included: female, age, long program, experience. * p<0.10, ** p<0.05, *** p<0.01
26
Table 5d. Heckman selection with job characteristics
Willingness to question ideas Ability to present Ability to write Foreign language Number of skills
Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection Ln(wage) Selection
Required level of competence 0.033*** 0.027*** 0.034*** 0.015*** 0.012***
(0.005) (0.005) (0.005) (0.004) (0.002)
Own level of competence 0.002 0.018 -0.003 0.003 -0.014* 0.006 -0.002 0.001 -0.000 -0.011
(0.007) (0.035) (0.006) (0.029) (0.007) (0.035) (0.005) (0.025) (0.002) (0.011)
Grade secondary educ. 0.028*** 0.057 0.028*** 0.048 0.031*** 0.049 0.028*** 0.056 0.028*** 0.048
(0.009) (0.050) (0.009) (0.052) (0.009) (0.052) (0.009) (0.051) (0.009) (0.051)
Education 0.079** -0.239 0.067** -0.291 0.088*** -0.280 0.082*** -0.251 0.083*** -0.275
(0.031) (0.183) (0.031) (0.183) (0.031) (0.184) (0.031) (0.184) (0.031) (0.187)
Humanities -0.046 -0.389** -0.046 -0.411** -0.032 -0.401** -0.060* -0.391** -0.040 -0.403**
(0.034) (0.172) (0.035) (0.175) (0.035) (0.175) (0.035) (0.174) (0.034) (0.176)
Science&Maths 0.057** 0.131 0.054** 0.116 0.056** 0.117 0.052** 0.120 0.060** 0.116
(0.025) (0.157) (0.024) (0.158) (0.025) (0.158) (0.025) (0.157) (0.024) (0.158)
Engineering 0.151*** -0.513*** 0.163*** -0.512*** 0.163*** -0.511*** 0.156*** -0.514*** 0.155*** -0.501***
(0.027) (0.128) (0.027) (0.129) (0.027) (0.129) (0.027) (0.128) (0.027) (0.130)
Agriculture&Vet 0.020 -0.488** 0.031 -0.485** 0.026 -0.490** 0.035 -0.492** 0.033 -0.467**
(0.042) (0.200) (0.042) (0.202) (0.042) (0.202) (0.042) (0.200) (0.042) (0.203)
Health 0.034 -0.394** 0.047 -0.431*** 0.056* -0.420*** 0.041 -0.398** 0.044 -0.424***
(0.029) (0.159) (0.029) (0.158) (0.029) (0.160) (0.029) (0.160) (0.029) (0.160)
Services 0.014 -0.879** 0.054 -0.869** 0.052 -0.877** 0.021 -0.865** 0.052 -0.875**
(0.101) (0.389) (0.102) (0.392) (0.102) (0.390) (0.102) (0.389) (0.101) (0.392)
Public sector 0.213*** 0.211*** 0.205*** 0.216*** 0.221***
(0.019) (0.019) (0.019) (0.019) (0.019)
Permanent contract 0.156*** 0.155*** 0.154*** 0.157*** 0.155***
(0.017) (0.017) (0.017) (0.017) (0.017)
Medium firm 0.097*** 0.099*** 0.100*** 0.096*** 0.096***
(0.023) (0.023) (0.023) (0.023) (0.022)
Large firm 0.136*** 0.137*** 0.141*** 0.130*** 0.134***
(0.019) (0.019) (0.019) (0.019) (0.018)
Father w/ tertiary educ. -0.227** -0.226** -0.224** -0.231** -0.216**
(0.090) (0.093) (0.092) (0.092) (0.093)
Constant 1.554*** 3.247*** 1.613*** 3.410*** 1.598*** 3.370*** 1.695*** 3.357*** 1.553*** 3.601***
(0.112) (0.580) (0.109) (0.572) (0.112) (0.588) (0.108) (0.557) (0.110) (0.567)
Observations 1997 1997 1997 1997 1997
Censored Obs. 152 152 152 152 152
Sigma .34 .334 .335 .342 .332
Rho .647 .511 .551 .633 .515
Lambda .22 .171 .185 .216 .171
Other controls included: female, age, long program, experience. * p<0.10, ** p<0.05, *** p<0.01
27
Table 6. Heckman selection with all competencies included
(1) (2) (3)
Ln(wage) selection Ln(wage) selection Ln(wage) Selection
Own level of competencies:
Mastery of own field 0.004 -0.013 0.000 0.005 -0.005 0.016
(0.009) (0.044) (0.009) (0.046) (0.009) (0.051)
Knowledge of other fields -0.007 -0.061 -0.005 -0.068* -0.005 -0.075*
(0.008) (0.040) (0.009) (0.041) (0.008) (0.045)
Analytical thinking 0.047*** 0.043 0.034*** 0.041 0.029*** 0.051
(0.009) (0.042) (0.010) (0.043) (0.009) (0.046)
Ability to learn -0.016 0.001 -0.015 0.020 -0.017 0.003
(0.011) (0.050) (0.011) (0.052) (0.011) (0.058)
Ability to negotiate -0.006 -0.006 -0.011 -0.014 -0.007 -0.010
(0.008) (0.038) (0.008) (0.039) (0.008) (0.041)
Work under pressure -0.009 -0.061 -0.000 -0.074* 0.005 -0.075
(0.008) (0.040) (0.009) (0.041) (0.009) (0.045)
Alertness to opportunities. -0.011 -0.122*** -0.001 -0.115*** -0.003 -0.116**
(0.008) (0.042) (0.009) (0.044) (0.009) (0.046)
Ability to coordinate -0.001 -0.043 -0.013 -0.052 -0.004 -0.046
(0.010) (0.050) (0.010) (0.051) (0.010) (0.055)
Ability to use time efficiently -0.030*** -0.020 -0.027*** -0.019 -0.025*** -0.018
(0.009) (0.043) (0.009) (0.044) (0.009) (0.047)
Ability to work with others 0.019** 0.169*** 0.017* 0.173*** 0.017* 0.190***
(0.009) (0.040) (0.010) (0.041) (0.009) (0.044)
Ability to mobilize others -0.015* -0.086** -0.018** -0.087* -0.019** -0.094*
(0.009) (0.044) (0.009) (0.045) (0.009) (0.049)
Ability to make meaning clear -0.008 -0.009 -0.009 -0.004 -0.010 -0.009
(0.010) (0.049) (0.010) (0.049) (0.010) (0.052)
Ability to assert authority 0.036*** 0.033 0.024*** 0.037 0.017** 0.029
(0.008) (0.043) (0.009) (0.044) (0.008) (0.047)
Ability to use computers -0.014* 0.001 0.004 0.029 -0.001 0.060
(0.008) (0.043) (0.009) (0.044) (0.009) (0.045)
Ability to come up with ideas -0.000 -0.036 0.001 -0.047 0.004 -0.075
(0.011) (0.055) (0.011) (0.057) (0.011) (0.060)
Willingness to question ideas 0.004 0.032 0.002 0.034 0.001 0.049
(0.009) (0.044) (0.009) (0.044) (0.009) (0.046)
Ability to present 0.007 0.060* -0.000 0.064* 0.002 0.056
(0.007) (0.034) (0.008) (0.035) (0.008) (0.039)
Ability to write reports -0.010 0.037 -0.021** 0.041 -0.014 0.028
(0.009) (0.043) (0.009) (0.044) (0.009) (0.047)
Foreign language 0.004 0.000 0.003 0.002 0.002 -0.011
(0.005) (0.026) (0.006) (0.026) (0.006) (0.029)
Number of skills 0.006 0.009 0.005 0.005 0.004 0.004
(0.005) (0.021) (0.005) (0.022) (0.005) (0.025)
Fields of study:
Education 0.100*** -0.023 0.079** -0.037 0.051 -0.256
(0.032) (0.162) (0.032) (0.169) (0.031) (0.189)
Humanities -0.039 -0.200 -0.027 -0.295* -0.035 -0.369**
(0.037) (0.161) (0.036) (0.162) (0.034) (0.178)
Science&Maths 0.014 0.060 0.019 0.123 0.051** 0.110
(0.027) (0.150) (0.026) (0.155) (0.025) (0.169)
Engineering 0.111*** -0.529*** 0.099*** -0.502*** 0.142*** -0.505***
(0.028) (0.122) (0.027) (0.126) (0.026) (0.135)
Agriculture&Vet -0.005 -0.457** -0.013 -0.472** 0.001 -0.490**
(0.044) (0.190) (0.042) (0.192) (0.041) (0.206)
Health 0.055* -0.269* 0.030 -0.258* 0.023 -0.391**
(0.030) (0.140) (0.029) (0.144) (0.029) (0.164)
Services 0.042 -0.811** 0.032 -0.874** -0.032 -1.031***
(0.106) (0.375) (0.103) (0.378) (0.099) (0.391)
Required level of competencies:
Mastery of own field 0.019*** 0.021***
(0.007) (0.007)
Knowledge of other fields 0.001 0.000
28
(0.007) (0.006)
Analytical thinking 0.015* 0.004
(0.008) (0.008)
Ability to learn -0.003 -0.003
(0.008) (0.008)
Ability to negotiate 0.015** 0.020***
(0.006) (0.006)
Work under pressure -0.016** -0.014**
(0.007) (0.007)
Alertness to opportunities. -0.020*** -0.012*
(0.007) (0.007)
Ability to coordinate 0.011 0.010
(0.008) (0.008)
Ability to use time efficiently 0.005 0.008
(0.008) (0.008)
Ability to work with others -0.001 -0.006
(0.007) (0.007)
Ability to mobilize others 0.006 0.006
(0.007) (0.007)
Ability to make meaning clear 0.020** 0.011
(0.009) (0.008)
Ability to assert authority 0.015** 0.008
(0.007) (0.006)
Ability to use computers -0.027*** -0.020***
(0.007) (0.007)
Ability to come up with ideas 0.006 0.003
(0.009) (0.009)
Willingness to question ideas 0.002 0.008
(0.007) (0.007)
Ability to present 0.003 -0.002
(0.007) (0.007)
Ability to write reports 0.018** 0.015**
(0.007) (0.007)
Foreign language 0.007 0.005
(0.005) (0.005)
Number of skills -0.003 -0.001
(0.004) (0.004)
Job characteristics:
Public sector 0.198***
(0.019)
Permanent contract 0.151***
(0.017)
Medium firm 0.093***
(0.022)
Large firm 0.131***
(0.018)
Father w/ tertiary educ. -0.242*** -0.192** -0.223**
(0.081) (0.085) (0.094)
Constant 1.802*** 3.185*** 1.547*** 2.997*** 1.537*** 3.383***
(0.142) (0.692) (0.142) (0.708) (0.135) (0.722)
Observations 2154 2154 1997
Censored Obs. 152 152 152
Sigma .38 .365 .327
Rho .896 .869 .633
Lambda .34 .317 .207
Other controls included: female, age, long program, grade secondary education and experience. * p<0.10, ** p<0.05, *** p<0.01
29
Table 7a. Wage of self-employed.
Own field Other fields Analytical thinking Learning Negotiate Under pressure Alertness Coordinate Efficient time use Work with others
Own level of competence 0.046 0.048* -0.016 -0.038 0.000 0.022 0.016 -0.007 -0.001 -0.010
(0.030) (0.025) (0.024) (0.030) (0.024) (0.025) (0.023) (0.025) (0.025) (0.023)
Female -0.002 0.002 -0.036 -0.026 -0.026 -0.018 -0.025 -0.026 -0.026 -0.027
(0.066) (0.065) (0.066) (0.064) (0.065) (0.065) (0.064) (0.065) (0.065) (0.065)
Age -0.001 -0.002 -0.003 -0.005 -0.004 -0.004 -0.004 -0.004 -0.004 -0.003
(0.013) (0.013) (0.013) (0.013) (0.013) (0.013) (0.013) (0.013) (0.014) (0.014)
Long program 0.236*** 0.225*** 0.244*** 0.241*** 0.234*** 0.236*** 0.235*** 0.233*** 0.234*** 0.230***
(0.067) (0.067) (0.069) (0.067) (0.068) (0.067) (0.068) (0.068) (0.068) (0.068)
Grade secondary educ. -0.002 -0.008 -0.003 -0.003 -0.006 -0.006 -0.004 -0.006 -0.006 -0.005
(0.036) (0.036) (0.036) (0.036) (0.036) (0.036) (0.036) (0.036) (0.036) (0.036)
Experience 0.002 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003
(0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002)
Education -0.190 -0.178 -0.149 -0.164 -0.167 -0.164 -0.169 -0.162 -0.167 -0.161
(0.128) (0.126) (0.131) (0.127) (0.128) (0.127) (0.128) (0.129) (0.128) (0.128)
Humanities 0.105 0.137 0.149 0.157 0.141 0.136 0.145 0.145 0.142 0.140
(0.114) (0.111) (0.113) (0.112) (0.112) (0.112) (0.112) (0.113) (0.113) (0.112)
Science&Maths 0.013 0.013 0.018 0.026 0.014 0.018 0.011 0.011 0.014 0.018
(0.114) (0.113) (0.115) (0.114) (0.116) (0.114) (0.114) (0.115) (0.115) (0.115)
Engineering 0.256*** 0.275*** 0.259*** 0.261*** 0.257*** 0.264*** 0.259*** 0.257*** 0.257*** 0.260***
(0.089) (0.089) (0.090) (0.089) (0.091) (0.090) (0.090) (0.090) (0.090) (0.090)
Agriculture&Vet -0.077 -0.069 -0.074 -0.060 -0.072 -0.069 -0.076 -0.074 -0.071 -0.063
(0.126) (0.125) (0.127) (0.127) (0.127) (0.127) (0.127) (0.127) (0.128) (0.128)
Health 0.125 0.152 0.129 0.132 0.136 0.131 0.132 0.135 0.136 0.139
(0.099) (0.098) (0.099) (0.099) (0.099) (0.099) (0.099) (0.099) (0.100) (0.099)
Services 0.180 0.173 0.164 0.135 0.164 0.175 0.170 0.175 0.164 0.180
(0.207) (0.206) (0.208) (0.209) (0.209) (0.208) (0.208) (0.212) (0.209) (0.212)
Constant 1.586*** 1.610*** 1.977*** 2.150*** 1.909*** 1.802*** 1.842*** 1.946*** 1.917*** 1.948***
(0.484) (0.459) (0.450) (0.475) (0.458) (0.455) (0.449) (0.456) (0.477) (0.448)
Observations 152 152 152 152 152 152 152 152 152 152
R^2 .245 .253 .234 .241 .232 .236 .234 .232 .232 .233
* p<0.10, ** p<0.05, *** p<0.01
30
Table 7b. Wage of self-employed
Mobilize others Clear meaning Authority Computers Find solutions Question ideas Present Write Foreign language N. skills
Own level of competence -0.008 -0.011 0.020 0.036 0.006 0.004 0.016 0.044* 0.028 0.006
(0.022) (0.026) (0.023) (0.024) (0.028) (0.024) (0.020) (0.025) (0.017) (0.007)
Female -0.029 -0.028 -0.020 -0.021 -0.025 -0.024 -0.020 -0.015 -0.029 -0.019
(0.065) (0.065) (0.065) (0.064) (0.065) (0.066) (0.065) (0.064) (0.064) (0.065)
Age -0.004 -0.003 -0.004 -0.002 -0.004 -0.003 -0.002 -0.002 0.000 -0.004
(0.014) (0.014) (0.013) (0.013) (0.014) (0.014) (0.014) (0.013) (0.014) (0.013)
Long program 0.234*** 0.232*** 0.233*** 0.226*** 0.234*** 0.233*** 0.232*** 0.228*** 0.229*** 0.232***
(0.068) (0.068) (0.067) (0.067) (0.068) (0.068) (0.067) (0.067) (0.067) (0.067)
Grade secondary educ. -0.006 -0.004 -0.007 -0.008 -0.007 -0.007 -0.007 -0.014 -0.010 -0.007
(0.036) (0.037) (0.036) (0.036) (0.036) (0.037) (0.036) (0.036) (0.036) (0.036)
Experience 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003 0.003
(0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002) (0.002)
Education -0.167 -0.148 -0.171 -0.139 -0.172 -0.170 -0.180 -0.171 -0.128 -0.177
(0.128) (0.135) (0.127) (0.128) (0.129) (0.129) (0.128) (0.126) (0.129) (0.128)
Humanities 0.142 0.152 0.133 0.144 0.142 0.142 0.129 0.144 0.096 0.135
(0.112) (0.115) (0.112) (0.111) (0.112) (0.112) (0.113) (0.111) (0.115) (0.112)
Science&Maths 0.015 0.018 0.021 0.016 0.013 0.014 0.018 0.028 -0.001 0.016
(0.115) (0.115) (0.115) (0.114) (0.115) (0.115) (0.114) (0.114) (0.114) (0.114)
Engineering 0.261*** 0.257*** 0.261*** 0.257*** 0.257*** 0.257*** 0.262*** 0.261*** 0.260*** 0.257***
(0.090) (0.090) (0.090) (0.089) (0.090) (0.090) (0.090) (0.089) (0.089) (0.089)
Agriculture&Vet -0.066 -0.066 -0.070 -0.083 -0.073 -0.074 -0.074 -0.095 -0.104 -0.086
(0.128) (0.128) (0.127) (0.126) (0.127) (0.128) (0.127) (0.126) (0.128) (0.128)
Health 0.137 0.139 0.129 0.143 0.135 0.136 0.136 0.160 0.142 0.130
(0.099) (0.099) (0.099) (0.098) (0.099) (0.099) (0.099) (0.099) (0.098) (0.099)
Services 0.174 0.184 0.148 0.226 0.164 0.158 0.142 0.136 0.193 0.157
(0.210) (0.213) (0.209) (0.211) (0.208) (0.212) (0.210) (0.207) (0.207) (0.208)
Constant 1.967*** 1.936*** 1.831*** 1.645*** 1.879*** 1.885*** 1.798*** 1.628*** 1.708*** 1.826***
(0.466) (0.443) (0.446) (0.469) (0.459) (0.461) (0.459) (0.463) (0.453) (0.449)
Observations 152 152 152 152 152 152 152 152 152 152
R^2 .233 .233 .236 .244 .232 .232 .236 .248 .246 .236
* p<0.10, ** p<0.05, *** p<0.01